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所在平台: Udemy |
课程主页: https://www.udemy.com/course/basicpython-rohitbasistgurjar/
课程评论：没有评论
Coursera Python Basics 课程总结 这门 Coursera 课程“Python Basics”是为编程零基础的绝对初学者量身定制的入门课程。无论您是有志于数据科学、Web 开发还是自动化领域，掌握 Python 都是迈向成功的第一步。 **课程亮点：** * **Google Colab 赋能：** 课程强调使用 Google Colab，一个基于云的平台，为初学者提供无缝、便捷的学习体验。您将学习如何设置和导航 Colab，并了解其作为初学者学习环境的优势。 * **IDE 基础：** 课程将介绍集成开发环境（IDE）的概念，指导您安装和设置常用的 Python IDE，并对比 Google Colab 与传统 IDE 的异同。 * **Python 数据类型：** 您将深入了解 Python 的各种数据类型，包括整数、浮点数、字符串、列表、元组、字典和集合，并通过实际的例子和练习来巩固理解。 * **注释与变量：** 课程将讲解在 Python 中编写注释的重要性，包括单行和多行注释的用法。同时，您也将学习变量的概念、命名规则以及如何赋值和使用多个变量。 * **Python 运算符：** 您将探索 Python 中丰富的运算符类型，涵盖算术、比较、逻辑、位、赋值、成员资格和身份运算符，并通过实际示例来理解它们的工作原理。 **适用人群：** * 没有编程经验的未来程序员。 * 希望提升 Python 技能的学生和专业人士。 * 对学习编程以应用于数据科学、Web 开发、自动化等领域感兴趣的任何人。
Unlock the power of Python programming with our introductory course designed for absolute beginners. Whether you're aiming to build a career in data science, web development, or automation, mastering Python is the first step. In this course, we will use Google Colab, a cloud-based environment, to make learning seamless and accessible.What You'll Learn:Introduction to Google Colab:Setting up and navigating Google Colab for Python programming.Benefits of using Google Colab for beginners.Understanding IDE Basics:Overview of Integrated Development Environments (IDEs).Installing and setting up popular Python IDEs.Comparing Google Colab with traditional IDEs.Python Data Types:Introduction to different data types in Python (integers, floats, strings, lists, tuples, dictionaries, sets).Practical examples and exercises to understand the use of each data type.Using Comments in Python:Importance of comments in code.How to write single-line and multi-line comments.Working with Variables:Understanding variables and their role in Python programming.Rules for naming variables.Assigning values to variables and working with multiple variables.Operators in Python:Exploring different types of operators (arithmetic, comparison, logical, bitwise, assignment, membership, identity).Practical examples to understand how each operator works.Who Should Enroll:Aspiring programmers with no prior coding experience.Students and professionals looking to enhance their skills in Python.Anyone interested in learning programming for data science, web development, automation, and more.
